Past projects

Applied machine learning research across financial fraud detection and loan default prediction. Trained and evaluated models across 8+ architectures using real-world financial datasets with heavy feature engineering and class imbalance handling.

Research-level work across Ethereum privacy layers, stablecoin infrastructure, and zero-knowledge systems. Modeled USDC transfer flows, explored government transaction reporting thresholds, and investigated NFC-based asset verification concepts.

ML model predicting ownership changes from land tax record datasets. Predecessor to Ranger's data layer, trained on classification targets with heavy feature engineering and class imbalance handling.

PDF table parser for Texas W-1 drilling permit forms from the Railroad Commission. Extracts structured permit metadata (operator name, legal description, formation, API number) from unstructured PDF tables using regex pipelines.

Distributed computing coursework using AWS EMR, Hadoop, Hive, and Pig. Covered cluster configuration, MapReduce job design, Hive query optimization, and large-scale data pipeline patterns.

Enterprise systems coursework using SAP S/4HANA. Covered business process mapping, ERP module configuration, procurement and supply chain workflows, and financial reporting in an enterprise environment.